• Neural Network Toolbox

  • Referenced in 172 articles [sw07378]
  • dynamic networks. It also supports unsupervised learning with self-organizing maps and competitive layers. With...
  • KEEL

  • Referenced in 93 articles [sw06791]
  • various kinds including as regression, classification, unsupervised learning, etc. It includes evolutionary learning algorithms based...
  • Scikit

  • Referenced in 229 articles [sw08058]
  • machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing...
  • GloVe

  • Referenced in 26 articles [sw26211]
  • Word Representation. GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training...
  • LS-SVMlab

  • Referenced in 23 articles [sw07367]
  • been introduced within the context of statistical learning theory and structural risk minimization ... Fisher discriminant analysis and extensions to unsupervised learning, recurrent networks and control are available. Robustness...
  • Statistics Toolbox

  • Referenced in 17 articles [sw10157]
  • Statistics Toolbox™ provides statistical and machine learning algorithms and tools for organizing, analyzing, and modeling ... regression. The toolbox provides supervised and unsupervised machine learning algorithms, including support vector machines (SVMs...
  • mdp

  • Referenced in 8 articles [sw14129]
  • collection of supervised and unsupervised learning algorithms and other data processing units that...
  • RFCM

  • Referenced in 5 articles [sw02668]
  • rough and fuzzy sets. A hybrid unsupervised learning algorithm, termed as rough-fuzzy c-means...
  • GLISSOM

  • Referenced in 6 articles [sw04192]
  • subsequently organized through an unsupervised Hebbian learning process using visual input. Weak connections are eliminated...
  • RolX

  • Referenced in 3 articles [sw32343]
  • linear in the number of edges), unsupervised learning approach for automatically extracting structural roles from...
  • CHIME

  • Referenced in 3 articles [sw28514]
  • with EM algorithm and its optimality. Unsupervised learning is an important problem in statistics...
  • GMCM

  • Referenced in 2 articles [sw24057]
  • mixture copula models (GMCM) for general unsupervised learning based on clustering. Li, Brown, Huang...
  • CLUSTER3

  • Referenced in 2 articles [sw03489]
  • Conceptual clustering is a form of unsupervised learning that seeks clusters in data that represent...
  • Spider

  • Referenced in 8 articles [sw10713]
  • spider - machine learning toolbox for Matlab. It’s a library of objects in Matlab ... handle (reasonably) large unsupervised, supervised or semi-supervised machine learning problems. Aims to become...
  • auDeep

  • Referenced in 1 article [sw27628]
  • auDeep: unsupervised learning of representations from audio with deep recurrent neural networks. auDeep ... Python toolkit for deep unsupervised representation learning from acoustic data. It is based...
  • Karate Club

  • Referenced in 1 article [sw32339]
  • Oriented Open-source Python Framework for Unsupervised Learning on Graphs. We present Karate Club ... graph mining algorithms which can solve unsupervised machine learning tasks. The primary goal...
  • SOFAR

  • Referenced in 3 articles [sw31665]
  • with broad applications to both unsupervised and supervised learning tasks, such as biclustering with sparse...
  • CLEMM

  • Referenced in 1 article [sw31323]
  • envelopes. Clustering analysis is an important unsupervised learning technique in multivariate statistics and machine learning ... foundations for envelope methods in unsupervised and semi-supervised learning problems. Numerical studies on simulated...
  • statlearn

  • Referenced in 1 article [sw26563]
  • learning tools for Matlab. Main features: Unsupervised Learning: Multidimensional distributions, parametric density models (or generative...
  • gvnn

  • Referenced in 1 article [sw31211]
  • computer vision. This opens up applications in learning invariance to 3D geometric transformation for place ... visual odometry, depth estimation and unsupervised learning through warping with a parametric transformation for image...